AI / ML Data Scientist I at Nielsen
Listed by DevShelfHub
About the Role
Nielsen is hiring an AI / ML Data Scientist I to build measurement and planning solutions for publishers, advertisers, and agencies — bridging data science, sampling analytics, software development, and data engineering.
The role supports reproducible data science projects end-to-end in a fast-paced media measurement environment.
Position Overview
Build measurement and planning solutions, identify AI opportunities in projects, support reproducible data science end-to-end, deploy and maintain data pipelines and models in production, and work with cross-functional teams to productionize and optimize methodologies.
What you'll do
- Build measurement and planning solutions for publishers, advertisers, and agencies
- Identify AI opportunities in existing and new projects and implement them
- Support reproducible data science projects end-to-end
- Deploy and maintain data pipelines and models in production
- Work with cross-functional teams to productionize, validate, and optimize methodologies
- Communicate methodology and research findings to varying audiences
- Support research on cross-platform audience measurement methodology
- Explore data: variable identification, cleaning, dimension reduction, survey integration
- Address quality escapes and fix issues in production code
- Document new methodologies and code
What we're looking for
- 0–3 years work experience
- Degree in data science, statistics, engineering, or quantitative field
- Python, Spark, AWS, SQL proficiency
- Statistics and machine learning knowledge
Eligibility Criteria
- 0–3 years work experience
- Degree in data science, statistics, engineering, or quantitative field
- Python, Spark, AWS, SQL proficiency
- Statistics and machine learning knowledge
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Bridge data science, software development, and data engineering
- Build models at scale with production-ready cloud software
- Fast-paced environment with world-class scientists and methodologists
- End-to-end reproducible data science project ownership
- Cross-platform audience measurement research exposure
- Global media measurement leader with learning opportunities
- Cross-functional team collaboration including remote peers
- Production pipeline and model deployment experience
Frequently Asked Questions
What experience is required?
0–3 years work experience in data science or related fields.
What technologies are used?
Python, Spark, AWS, SQL, Git/GitLab, JIRA, Confluence, Spotfire/Tableau.
What domain does this role cover?
Media measurement, sampling analytics, and cross-platform audience measurement.
Is cloud experience required?
Familiarity with AWS or Google Cloud is preferred.
What education is required?
Degree in data science, statistics, engineering, applied mathematics, or related quantitative field.
What soft skills matter?
Excellent communication, self-motivation, and ability to handle multiple priorities.
Why Join Nielsen?
- ★ Global leader in media measurement and audience analytics
- ★ Work with world-class computer scientists and statisticians
- ★ Production data science and pipeline ownership
- ★ AI opportunities across measurement projects
- ★ Fast-paced, intellectually curious team environment
- ★ Bridge methodology research and software engineering
About Nielsen
- Industry
- Technology
- Company Size
- 500+
- Website
- nielsen.com
Skip the queue
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 0–3 years
- Location
- India
- Work Mode
- Hybrid
- Category
- AI / ML
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